Multivariate predictive window blind control models for intelligent building façade systems

This paper presents results from a window blind usage field study that was conducted in California, USA. In this study, the measurements of physical environmental conditions were cross-linked with participants’ window blind controlling preferences (n=83). A total of seven predictive window blind control multivariate logistic models were derived. As hypothesized, the probability of a window blind closing event increased as the magnitude of physical environmental and confounding factors increased (p < .01).

How do people use Venetian blinds in a traditional VDU task office

We are developing a model that is able to predict the most adapted venetian blinds position (slat angle) for a VDU office worker, considering visual comfort matters. This algorithm, which takes into account room parameters as well as visual comfort criterions, is being validated by an in-situ measurement campaign. During 8 months, two field studies are lead to understand the way that office-workers actually use their blinds.